<!DOCTYPE html>
<html lang="ja">
<head>
    <meta http-equiv="content-type" content="text/html;charset=utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
    <meta name="description" content="プライマーEZのバリエーションをいくつか試しました。"/>

    <meta name="twitter:card" content="summary"/>
    <meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta name="twitter:title" content="プライマー EZ バリエーション"/>
    <meta name="twitter:description" content="プライマーEZのバリエーションをいくつか試しました。"/>
    <meta name="twitter:site" content="@labmlai"/>
    <meta name="twitter:creator" content="@labmlai"/>

    <meta property="og:url" content="https://nn.labml.ai/transformers/primer_ez/variations.html"/>
    <meta property="og:title" content="プライマー EZ バリエーション"/>
    <meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta property="og:site_name" content="プライマー EZ バリエーション"/>
    <meta property="og:type" content="object"/>
    <meta property="og:title" content="プライマー EZ バリエーション"/>
    <meta property="og:description" content="プライマーEZのバリエーションをいくつか試しました。"/>

    <title>プライマー EZ バリエーション</title>
    <link rel="shortcut icon" href="/icon.png"/>
    <link rel="stylesheet" href="../../pylit.css?v=1">
    <link rel="canonical" href="https://nn.labml.ai/transformers/primer_ez/variations.html"/>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.13.18/dist/katex.min.css" integrity="sha384-zTROYFVGOfTw7JV7KUu8udsvW2fx4lWOsCEDqhBreBwlHI4ioVRtmIvEThzJHGET" crossorigin="anonymous">

    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
    <script>
        window.dataLayer = window.dataLayer || [];

        function gtag() {
            dataLayer.push(arguments);
        }

        gtag('js', new Date());

        gtag('config', 'G-4V3HC8HBLH');
    </script>
</head>
<body>
<div id='container'>
    <div id="background"></div>
    <div class='section'>
        <div class='docs'>
            <p>
                <a class="parent" href="/">home</a>
                <a class="parent" href="../index.html">transformers</a>
                <a class="parent" href="index.html">primer_ez</a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
                    <img alt="Github"
                         src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
                         style="max-width:100%;"/></a>
                <a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
                    <img alt="Twitter"
                         src="https://img.shields.io/twitter/follow/labmlai?style=social"
                         style="max-width:100%;"/></a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/transformers/primer_ez/variations.py" target="_blank">
                    View code on Github</a>
            </p>
        </div>
    </div>
    <div class='section' id='section-0'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-0'>#</a>
            </div>
            <h1><a href="index.html">プライマー EZ バリエーション</a></h1>
<p>いくつかのバリエーションを試して、Primer EZのどの変更が最もメリットがあるかを確認しました。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">12</span><span></span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">13</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">14</span>
<span class="lineno">15</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml_nn.transformers</span> <span class="kn">import</span> <span class="n">MultiHeadAttention</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h2>空間奥行き共有コンボリューション</h2>
<p>すべてのチャネルで同じカーネルを共有します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">19</span><span class="k">class</span> <span class="nc">SpatialDepthWiseSharedConvolution</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">26</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">):</span>
<span class="lineno">27</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">28</span>        <span class="bp">self</span><span class="o">.</span><span class="n">kernel_size</span> <span class="o">=</span> <span class="n">kernel_size</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <p><code  class="highlight"><span></span><span class="n">Conv1d</span></code>
PyTorchのモジュールを使用しています。両側にパディングを追加し、<code  class="highlight"><span></span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span></code>
後で一番適切な結果になるようにトリミングします</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">33</span>        <span class="bp">self</span><span class="o">.</span><span class="n">conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv1d</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out_channels</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">kernel_size</span><span class="o">=</span><span class="p">(</span><span class="n">kernel_size</span><span class="p">,),</span> <span class="n">padding</span><span class="o">=</span><span class="p">(</span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p><code  class="highlight"><span></span><span class="n">x</span></code>
形がある <code  class="highlight"><span></span><span class="p">[</span><span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">35</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>形を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">41</span>        <span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">shape</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>に並べ替え <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">43</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>形状を次のように変更 <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span> <span class="o">*</span> <span class="n">heads</span> <span class="o">*</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">45</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">batch_size</span> <span class="o">*</span> <span class="n">heads</span> <span class="o">*</span> <span class="n">d_k</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>1次元の畳み込みは次の形式の入力を受け付けます <code  class="highlight"><span></span><span class="p">[</span><span class="n">N</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">sequence</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">48</span>        <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>両側をパディングしたので、<code  class="highlight"><span></span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span></code>
最も適切な結果が得られるようにトリミングします</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">50</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:</span><span class="o">-</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>形状を次の形式に変更 <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">52</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>に並べ替え <code  class="highlight"><span></span><span class="p">[</span><span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">54</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">57</span>        <span class="k">return</span> <span class="n">x</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <h2>多層共有型頭脳アテンション</h2>
<p><a href="../mha.html#MHA">Multi-Head</a> Attentionの当初の実装を拡張し、クエリ、キー、バリュープロジェクションに空間深度共有コンボリューションを追加します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">60</span><span class="k">class</span> <span class="nc">MultiDSharedConvHeadAttention</span><span class="p">(</span><span class="n">MultiHeadAttention</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">68</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">heads</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">):</span>
<span class="lineno">69</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">heads</span><span class="p">,</span> <span class="n">d_model</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p><a href="../mha.html#MHA">Multi-Head Attention</a> は、クエリ、キー、バリュープロジェクションモジュール<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">query</span></code>
<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">key</span></code>
、およびを作成します。<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">value</span></code>
</p>
<p>それぞれに空間深度共有畳み込み層を組み合わせて、、、を置き換えます<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">query</span></code>
。<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">key</span></code>
 <code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">value</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">76</span>        <span class="bp">self</span><span class="o">.</span><span class="n">query</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">query</span><span class="p">,</span> <span class="n">SpatialDepthWiseSharedConvolution</span><span class="p">())</span>
<span class="lineno">77</span>        <span class="bp">self</span><span class="o">.</span><span class="n">key</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">key</span><span class="p">,</span> <span class="n">SpatialDepthWiseSharedConvolution</span><span class="p">())</span>
<span class="lineno">78</span>        <span class="bp">self</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="p">,</span> <span class="n">SpatialDepthWiseSharedConvolution</span><span class="p">())</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <h2>頭あたりの空間深度コンボリューション</h2>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">81</span><span class="k">class</span> <span class="nc">SpatialDepthWisePerHeadConvolution</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">heads</span></code>
は頭の数です</li>
<li><code  class="highlight"><span></span><span class="n">d_k</span></code>
は各ヘッドのチャンネル数</li></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">86</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">heads</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_k</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">91</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">92</span>        <span class="bp">self</span><span class="o">.</span><span class="n">kernel_size</span> <span class="o">=</span> <span class="n">kernel_size</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p><code  class="highlight"><span></span><span class="n">Conv1d</span></code>
PyTorchのモジュールを使用しています。グループの数を各ヘッドのチャネル数と同じになるように設定し、チャネルとヘッドごとに個別の畳み込みを (異なるカーネルで) 行います。両側にパディングを追加し、<code  class="highlight"><span></span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span></code>
後で一番適切な結果になるようにトリミングします</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">98</span>        <span class="bp">self</span><span class="o">.</span><span class="n">conv</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv1d</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="n">d_k</span> <span class="o">*</span> <span class="n">heads</span><span class="p">,</span> <span class="n">out_channels</span><span class="o">=</span><span class="n">d_k</span> <span class="o">*</span> <span class="n">heads</span><span class="p">,</span>
<span class="lineno">99</span>                              <span class="n">kernel_size</span><span class="o">=</span><span class="p">(</span><span class="n">kernel_size</span><span class="p">,),</span> <span class="n">padding</span><span class="o">=</span><span class="p">(</span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,),</span> <span class="n">groups</span><span class="o">=</span><span class="n">d_k</span> <span class="o">*</span> <span class="n">heads</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p><code  class="highlight"><span></span><span class="n">x</span></code>
形がある <code  class="highlight"><span></span><span class="p">[</span><span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">101</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>形を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">107</span>        <span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">shape</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>に並べ替え <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">109</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p>形状を次のように変更 <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span> <span class="n">heads</span> <span class="o">*</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">111</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span> <span class="o">*</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            <p>1次元の畳み込みは次の形式の入力を受け付けます <code  class="highlight"><span></span><span class="p">[</span><span class="n">N</span><span class="p">,</span> <span class="n">channels</span><span class="p">,</span> <span class="n">sequence</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">114</span>        <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p>両側をパディングしたので、<code  class="highlight"><span></span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span></code>
最も適切な結果が得られるようにトリミングします</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">116</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:</span><span class="o">-</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">kernel_size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>形状を次の形式に変更 <code  class="highlight"><span></span><span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">118</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            <p>に並べ替え <code  class="highlight"><span></span><span class="p">[</span><span class="n">seq_len</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">heads</span><span class="p">,</span> <span class="n">d_k</span><span class="p">]</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">120</span>        <span class="n">x</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">permute</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">123</span>        <span class="k">return</span> <span class="n">x</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-29'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-29'>#</a>
            </div>
            <h2>頭部ごとに複数の頭部深さ方向への注意喚起</h2>
<p><a href="../mha.html#MHA">Multi-Head</a> Attentionの当初の実装を拡張し、クエリ、キー、バリュープロジェクションに空間深度方向のコンボリューションを追加します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">126</span><span class="k">class</span> <span class="nc">MultiDPHConvHeadAttention</span><span class="p">(</span><span class="n">MultiHeadAttention</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-30'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-30'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">134</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">heads</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">):</span>
<span class="lineno">135</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">heads</span><span class="p">,</span> <span class="n">d_model</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-31'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-31'>#</a>
            </div>
            <p><a href="../mha.html#MHA">Multi-Head Attention</a> は、クエリ、キー、バリュープロジェクションモジュール<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">query</span></code>
<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">key</span></code>
、およびを作成します。<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">value</span></code>
</p>
<p>それぞれに頭ごとの深度方向の空間畳み込み層を組み合わせて、、、を置き換えます。<code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">query</span></code>
 <code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">key</span></code>
 <code  class="highlight"><span></span><span class="bp">self</span><span class="o">.</span><span class="n">value</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">142</span>        <span class="bp">self</span><span class="o">.</span><span class="n">query</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">query</span><span class="p">,</span> <span class="n">SpatialDepthWisePerHeadConvolution</span><span class="p">(</span><span class="n">heads</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">d_k</span><span class="p">))</span>
<span class="lineno">143</span>        <span class="bp">self</span><span class="o">.</span><span class="n">key</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">key</span><span class="p">,</span> <span class="n">SpatialDepthWisePerHeadConvolution</span><span class="p">(</span><span class="n">heads</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">d_k</span><span class="p">))</span>
<span class="lineno">144</span>        <span class="bp">self</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="p">,</span> <span class="n">SpatialDepthWisePerHeadConvolution</span><span class="p">(</span><span class="n">heads</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">d_k</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='footer'>
        <a href="https://papers.labml.ai">Trending Research Papers</a>
        <a href="https://labml.ai">labml.ai</a>
    </div>
</div>
<script src=../../interactive.js?v=1"></script>
<script>
    function handleImages() {
        var images = document.querySelectorAll('p>img')

        for (var i = 0; i < images.length; ++i) {
            handleImage(images[i])
        }
    }

    function handleImage(img) {
        img.parentElement.style.textAlign = 'center'

        var modal = document.createElement('div')
        modal.id = 'modal'

        var modalContent = document.createElement('div')
        modal.appendChild(modalContent)

        var modalImage = document.createElement('img')
        modalContent.appendChild(modalImage)

        var span = document.createElement('span')
        span.classList.add('close')
        span.textContent = 'x'
        modal.appendChild(span)

        img.onclick = function () {
            console.log('clicked')
            document.body.appendChild(modal)
            modalImage.src = img.src
        }

        span.onclick = function () {
            document.body.removeChild(modal)
        }
    }

    handleImages()
</script>
</body>
</html>